Ugotavljanje in vrednotenje stresa

Golčman, Tomaž

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Title:	Ugotavljanje in vrednotenje stresa
Authors:	ID Golčman, Tomaž (Author) ID Lorber, Mateja (Mentor) More about this mentor... ID Krivec, Bojan (Comentor)
Files:	VS_Golcman_Tomaz_2012.pdf (2,54 MB) MD5: 6921E1A3C14BABD98CC15AA92188BE39 PID: 20.500.12556/dkum/b633a2ed-20de-4df4-95d4-e039ab956fbb
Language:	Slovenian
Work type:	Undergraduate thesis
Typology:	2.11 - Undergraduate Thesis
Organization:	FZV - Faculty of Health Sciences
Abstract:	Teoretična izhodišča: Beseda stres je danes pogosto uporabljena, saj živimo v svetu, ki se hitro razvija in od nas zahteva nenehno prilagajanje. Stres lahko opišemo kot psihološki, fiziološki in vedenjski odgovor osebe, posameznika, ki se poskuša čim bolj prilagoditi notranjim ali zunanjim dražljajem. V diplomskem delu smo želeli poiskati povezavo med psihološko stresno obremenjenostjo, ocenjeno z izpolnjenim Godwinovim vprašalnikom in fiziološko stresno obremenjenostjo, ocenjeno z analizo spremenljivosti srčne frekvence. Metodologija raziskovanja: Uporabili smo deskriptivno metodo dela. Raziskava je temeljila na kvantitativni metodologiji dela. Podatke smo zbrali s pomočjo Godwin rangiranega anketnega vprašalnika, nato smo ta vprašanja primerjali z analizo variacije srčne frekvence (24 - urni Holter monitoring). V raziskavi je sodelovalo 60 oseb obravnavanih v Internistični srčno-žilni ambulanti v Termah Zreče, ki so nosili 24-urni Holter snemalnik. Dobljene podatke smo statistično obdelali s pomočjo računalniškega SPSS 19,0. Rezultati: Z ozirom na dobljene rezultate smo ugotovili, da analiza spremenljivosti srčne frekvence označuje velike interindividualne razlike v ocenjevanju delovanja avtonomnega živčnega sistema preiskovancev. Ugotovili smo pomembno razpršenost posameznih parametrov analize variacije srčne frekvence, kar označuje različno stopnjo simpatikotonične in vagotonične aktivacije. Hkrati pa smo ugotovili statistično pomembno povezanost med starostjo (r=0,326; p=0,011), ter tremi parametri analize variacije srčne frekvence (SDNN (r= -0,371; p= 0,004); pNN50 (r= -0,337; p= 0,008); in T power (R= -0,380; p= 0,002) ter stresno obremenjenostjo opredeljeno z vprašalnikom. Sklep: Analiza variacije srčne frekvence ponuja možnosti opredeljevanja stresne obremenitve saj lahko z njo ocenimo stresno obremenjenost, vendar bi bilo v prihodnosti potrebno opredeliti natančen kvantitativni model.
Keywords:	stres, izgorelost, 24-urni EKG, HRV
Place of publishing:	Maribor
Publisher:	[T. Golčman]
Year of publishing:	2012
PID:	20.500.12556/DKUM-36773
UDC:	159.944.4
COBISS.SI-ID:	1831588
NUK URN:	URN:SI:UM:DK:PSZRJ3AH
Publication date in DKUM:	20.09.2012
Views:	2044
Downloads:	251
Metadata:
Categories:	FZV
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Secondary language

Language:	English
Title:	Detection and evaluation of stress
Abstract:	Theoretical starting points: Nowadays the word stress is used very often as we live in a fast developing world demanding a permanent adaptation from us. Stress can be defined as a psychological, physiological and behavioural answer of a person, an individual trying to adapt to his or her inside and outside stimulation. My thesis is aimed at finding the connection between the psychological stress burdens estimated on the basis of the Godwin questionnaire and the physiological stress burdens estimated on the basis of the heart rate variability analysis. Methods: A descriptive method has been used and the research based on the quantitative methodology. Furthermore, data were collected with the help of the Godwin questionnaire and after that the questions were compared with the heart rate variability analysis. (the 24-hour Holter monitoring). 60 people being treated in the Spa Zreče Internal cardiovascular clinic wearing a 24-hour Holter monitor took part. The data received were statistically processed with the help of the SPSS 19.0. Results: Regarding the data received we came to the conclusion that the heart rate variability analysis marks huge interindividual differences when estimating the activity of participants’ autonomic nervous system. We ascertained the important dispersion of individual parameters of the heart rate variability analysis which indicates the different stage of simpaticotonic and vagotonic activation. At the same time we found out the statistically important connection between the age (r=0,326; p=0,011), and three parameters of the SDNN heart rate variability analysis (r= -0,371; p= 0,004); pNN50 (r= -0,337; p= 0,008); and T power (R= -0,380; p= 0,002) as well as the stress burden defined with the questionnaire. Conclusion: The heart rate variability analysis offers possibilities of the stress burden determination as the stress burden can be estimated, however; a precise quantitative model should be determined in the future.
Keywords:	stress, burnout, 24-hour ECG, HRV

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